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Record W4367051177 · doi:10.1080/09515070.2023.2201417

Evaluation of expressed self-contempt in psychotherapy: an exploratory study

2023· article· en· W4367051177 on OpenAlexaff
Hélène Beuchat, Loris Grandjean, Nastia Junod, Jean‐Nicolas Despland, Antonio Pascual‐Leone, Chantal Martin-Söelch, Uëli Kramer

Bibliographic record

VenueCounselling Psychology Quarterly · 2023
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversity of Windsor
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsContemptPsychologyShameSadnessClinical psychologyPersonalityBorderline personality disorderSocial psychologyAnger

Abstract

fetched live from OpenAlex

Self-contempt may be a frequent but overlooked clinical phenomenon, associated with a number of psychological problems such as increased sadness and shame. It was shown that self-contempt interferes with productive emotional processing and the quality of therapeutic alliance. This study aims to develop a reliable measure of expressed self-contempt given that a previous three-point assessment may be too restrictive in range, resulting in non-significant results. Thus, the present study applied an extended observer-rated scale to different participant groups in different contexts. This explorative phase focuses on a sample of N = 61 participants divided into three groups, including n = 20 controls, n = 21 patients with a diagnosis of borderline personality disorderand n = 20 patients with a diagnosis of major depressive disorder. Levels of self-contempt are compared between the groups and are associated with symptom indicators. Reliability of the instrument is analysed using inter-rater reliability and internal consistency, which are sufficient. The level of expressed self-contempt is not related to symptom intensity. Patients with borderline personality disorder do not express more self-contempt than the other groups. While further research should establish full validity of the scale, reliability is satisfactory and the use of the scale can be recommended.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.106
GPT teacher head0.436
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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